Abstract
The paper presents question of blind source separation encountered by researchers aiming to determine location of generation electric activity in human brain as a source signal characteristic for given neuron fraction. To that end, Blind Signal Separation (BSS) technique with Moore-Penrose pseudoinversion was presented. The technique is useful for reconstruction of EEG signal. For the experimental purpose, sLORETA algorithm was also used to identify sources as a part of the inverse problem.
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Paszkiel, S. (2017). Characteristics of Question of Blind Source Separation Using Moore-Penrose Pseudoinversion for Reconstruction of EEG Signal. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2017. ICA 2017. Advances in Intelligent Systems and Computing, vol 550. Springer, Cham. https://doi.org/10.1007/978-3-319-54042-9_36
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DOI: https://doi.org/10.1007/978-3-319-54042-9_36
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